Microsoft Azure Computer Vision Client is a powerful tool that allows users to analyze and extract insights from images and videos. With this client, users can easily detect objects, faces, text, and even landmarks within their visual content. They can also identify and categorize images based on content, as well as analyze image quality and extract text from images.
swagger: '2.0'
info:
title: Microsoft Azure Computer Vision Client
description: >-
The Computer Vision API provides state-of-the-art algorithms to process
images and return information. For example, it can be used to extract text
using Read OCR, caption an image using descriptive natural language, detect
objects, people, and more.
version: 2023-04-01-preview
paths:
/imageanalysis:segment:
post:
tags:
- Operations
summary: >-
Microsoft Azure Analyze The Input Image The Request Either Contains An Image Stream With Any Content Type [ Image * , Application Octet Stream ], Or A Json Payload Which Includes A Url Property To Be Used To Retrieve The Image Stream An Image Stream Of Content Type Image Png Is Returned, Where The Pixel Values Depend On The Analysis Mode The Returned Image Has The Same Dimensions As The Input Image For Modes: Foregroundmatting The Returned Image Has The Same Aspect Ratio And Same Dimensions As The Input Image Up To A Limit Of 16 Megapixels For Modes: Backgroundremoval
operationId: microsoftAzureImageanalysisSegment
consumes:
- application/json
produces:
- image/png
- application/json
parameters:
- in: query
name: mode
description: The analysis mode requested.
type: string
enum:
- backgroundRemoval
- foregroundMatting
x-ms-enum:
name: SegmentationMode
modelAsString: true
- $ref: '#/parameters/ApiVersion'
- in: body
name: body
description: >-
A JSON document with a URL pointing to the image that is to be
analyzed.
required: true
schema:
$ref: '#/definitions/ImageUrl'
responses:
'200':
description: Success
schema:
type: file
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
Segment_BackgroundRemoval_FromImageUrl:
$ref: ./examples/Segment_BackgroundRemoval_FromImageUrl.json
Segment_ForegroundMatting_FromImageUrl:
$ref: ./examples/Segment_ForegroundMatting_FromImageUrl.json
description: Needs a more full description created.
/retrieval:vectorizeText:
post:
tags:
- ImageRetrieval
summary: 'Microsoft Azure Return Vector From A Text'
operationId: microsoftAzureImageretrievalVectorizetext
consumes:
- application/json
produces:
- application/json
parameters:
- in: query
name: model-version
description: Model version.
type: string
- $ref: '#/parameters/ApiVersion'
- in: body
name: body
description: Request of VectorizeText.
schema:
$ref: '#/definitions/VectorizeTextRequestApiModel'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/SingleVectorResultApiModel'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
ImageRetrieval_VectorizeText:
$ref: ./examples/ImageRetrieval_VectorizeText.json
description: Needs a more full description created.
/retrieval:vectorizeImage:
post:
tags:
- ImageRetrieval
summary: 'Microsoft Azure Return Vector From An Image'
operationId: microsoftAzureImageretrievalVectorizeimage
consumes:
- application/json
produces:
- application/json
parameters:
- in: query
name: model-version
description: Model version.
type: string
- $ref: '#/parameters/ApiVersion'
- in: body
name: body
description: >-
A JSON document with a URL pointing to the image that is to be
analyzed.
required: true
schema:
$ref: '#/definitions/ImageUrl'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/SingleVectorResultApiModel'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
ImageRetrieval_VectorizeImage:
$ref: ./examples/ImageRetrieval_VectorizeImage.json
description: Needs a more full description created.
/imagecomposition:stitch:
post:
tags:
- Operations
summary: 'Microsoft Azure Run The Image Stitching Operation Against A Sequence Of Images'
operationId: microsoftAzureImagecompositionStitch
consumes:
- application/json-patch+json
produces:
- image/jpeg
- application/json
parameters:
- $ref: '#/parameters/ApiVersion'
- in: body
name: body
description: Input images urls that pass into image stitching operation.
required: true
schema:
$ref: '#/definitions/ImageStitchingRequestApiModel'
responses:
'200':
description: Success
schema:
type: file
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
ImageComposition_Stitch:
$ref: ./examples/ImageComposition_Stitch.json
description: Needs a more full description created.
/imagecomposition:rectify:
post:
tags:
- Operations
summary: >-
Microsoft Azure Run The Image Rectification Operation Against An Image With 4 Control Points Provided In The Parameter
operationId: microsoftAzureImagecompositionRectify
consumes:
- application/json-patch+json
produces:
- image/jpeg
- application/json
parameters:
- $ref: '#/parameters/ApiVersion'
- in: body
name: body
description: >-
Input image url and control points that are passed into
rectification operation.
required: true
schema:
$ref: '#/definitions/ImageRectificationRequestApiModel'
responses:
'200':
description: Success
schema:
type: file
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
ImageComposition_Rectify:
$ref: ./examples/ImageComposition_Rectify.json
description: Needs a more full description created.
/planogramcompliance:match:
post:
tags:
- Operations
summary: >-
Microsoft Azure Run The Planogram Matching Operation Against A Planogram And A Product Understanding Result
operationId: microsoftAzurePlanogramcomplianceMatch
consumes:
- application/json-patch+json
produces:
- application/json
parameters:
- $ref: '#/parameters/ApiVersion'
- in: body
name: body
description: Input to pass into the planogram matching operation.
schema:
$ref: '#/definitions/PlanogramMatchingRequestApiModel'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/PlanogramMatchingResultApiModel'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
PlanogramCompliance_Match:
$ref: ./examples/PlanogramCompliance_Match.json
description: Needs a more full description created.
/productrecognition/{modelName}/runs/{runName}:
put:
tags:
- Operations
summary: 'Microsoft Azure Run The Product Recognition Against A Model With An Image'
operationId: microsoftAzureProductrecognitionCreate
produces:
- application/json
parameters:
- in: path
name: modelName
description: The name of the model to run product recognition with.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- in: path
name: runName
description: The name of the product recognition run.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- $ref: '#/parameters/ApiVersion'
responses:
'201':
description: Created
schema:
$ref: '#/definitions/ProductRecognitionApiModel'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
ProductRecognition_Create:
$ref: ./examples/ProductRecognition_Create.json
description: Needs a more full description created.
get:
tags:
- Operations
summary: 'Microsoft Azure Get Information About A Specific Product Recognition Run'
operationId: microsoftAzureProductrecognitionGet
produces:
- application/json
parameters:
- in: path
name: modelName
description: The name of the model the product recognition run belongs to.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- in: path
name: runName
description: The name of the product recognition run.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- $ref: '#/parameters/ApiVersion'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/ProductRecognitionApiModel'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
ProductRecognition_Get:
$ref: ./examples/ProductRecognition_Get.json
description: Needs a more full description created.
delete:
tags:
- Operations
summary: "Microsoft Azure Delete A Product Recognition Run A Product Recognition Run Can Be Deleted If It Is In The Succeeded Or Failed States \r\n \r\nstatus Codes Returned:\r\n 204: Operation Completed Successfully \r\n 400: The Request Was Malformed \r\n 404: A Product Recognition Run With The Specified Name Was Not Found"
operationId: microsoftAzureProductrecognitionDelete
produces:
- application/json
parameters:
- in: path
name: modelName
description: The name of the model to delete the product recognition run for.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- in: path
name: runName
description: The name of the product recognition run.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- $ref: '#/parameters/ApiVersion'
responses:
'204':
description: No Content
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
ProductRecognition_Delete:
$ref: ./examples/ProductRecognition_Delete.json
description: Needs a more full description created.
/productrecognition/{modelName}/runs:
get:
tags:
- Operations
summary: 'Microsoft Azure List All Product Recognition Run Of A Model'
operationId: microsoftAzureProductrecognitionList
produces:
- application/json
parameters:
- in: path
name: modelName
description: The name of the model the product recognition runs belongs to.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- in: query
name: skip
description: Number of product recognition runs to be skipped.
type: integer
format: int32
default: 0
maximum: 2147483647
minimum: 0
- in: query
name: top
description: >-
Number of product recognition runs to be returned after skipping.
The maximum allowed value is 30.
type: integer
format: int32
default: 10
maximum: 30
minimum: 1
- $ref: '#/parameters/ApiVersion'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/ProductRecognitionApiModelCollectionApiModel'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-pageable:
nextLinkName: nextLink
x-ms-examples:
ProductRecognition_List:
$ref: ./examples/ProductRecognition_List.json
description: Needs a more full description created.
/imageanalysis:analyze:
post:
tags:
- Operations
summary: >-
Microsoft Azure Analyze The Input Image The Request Either Contains Image Stream With Any Content Type [ Image * , Application Octet Stream ], Or A Json Payload Which Includes An Url Property To Be Used To Retrieve The Image Stream
operationId: microsoftAzureImageanalysisAnalyze
consumes:
- application/json
produces:
- application/json
parameters:
- in: query
name: features
description: >-
The visual features requested: tags, objects, caption,
denseCaptions, read, smartCrops, people. This parameter needs to be
specified if the parameter "model-name" is not specified.
type: array
items:
enum:
- tags
- caption
- denseCaptions
- objects
- read
- smartCrops
- people
type: string
x-ms-enum:
name: VisualFeature
modelAsString: true
collectionFormat: csv
- in: query
name: model-name
description: >-
The name of the custom trained model. This parameter needs to be
specified if the parameter "features" is not specified.
type: string
- in: query
name: language
description: >-
The desired language for output generation. If this parameter is not
specified, the default value is "en". See
https://aka.ms/cv-languages for a list of supported languages.
type: string
default: en
- in: query
name: smartcrops-aspect-ratios
description: >-
A list of aspect ratios to use for smartCrops feature. Aspect ratios
are calculated by dividing the target crop width by the height.
Supported values are between 0.75 and 1.8 (inclusive). Multiple
values should be comma-separated. If this parameter is not
specified, the service will return one crop suggestion with an
aspect ratio it sees fit between 0.5 and 2.0 (inclusive).
type: string
- in: query
name: gender-neutral-caption
description: >-
Boolean flag for enabling gender-neutral captioning for caption and
denseCaptions features. If this parameter is not specified, the
default value is "false".
type: boolean
default: false
- $ref: '#/parameters/ApiVersion'
- in: body
name: body
description: >-
A JSON document with a URL pointing to the image that is to be
analyzed.
required: true
schema:
$ref: '#/definitions/ImageUrl'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/ImageAnalysisResult'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
AnalyzeImage_CustomModel:
$ref: ./examples/AnalyzeImage_CustomModel.json
description: Needs a more full description created.
/datasets/{name}:
put:
tags:
- Datasets
summary: "Microsoft Azure Register A New Dataset \r\n \r\nstatus Codes Returned:\r\n 201: Operation Completed Successfully \r\n 400: The Request Was Malformed \r\n 409: A Dataset With The Specified Name Already Exists"
operationId: microsoftAzureDatasetsRegister
consumes:
- application/json-patch+json
produces:
- application/json
parameters:
- in: path
name: name
description: >-
A name that can be used to uniquely identify the dataset after it
has been registered.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- $ref: '#/parameters/ApiVersion'
- in: body
name: body
description: >-
Properties for the dataset, such as the list of URIs to the
annotation files.
required: true
schema:
$ref: '#/definitions/Dataset'
responses:
'201':
description: Created
schema:
$ref: '#/definitions/Dataset'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
RegisterDataset_ImageClassification:
$ref: ./examples/RegisterDataset_ImageClassification.json
description: Needs a more full description created.
get:
tags:
- Datasets
summary: "Microsoft Azure Get Information About A Specific Dataset \r\n \r\nstatus Codes Returned:\r\n 200: Operation Completed Successfully \r\n 400: The Request Was Malformed \r\n 404: A Dataset With The Specified Name Was Not Found"
operationId: microsoftAzureDatasetsGet
produces:
- application/json
parameters:
- in: path
name: name
description: The name of the dataset to get.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- $ref: '#/parameters/ApiVersion'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/Dataset'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
Datasets_Get:
$ref: ./examples/Datasets_Get.json
description: Needs a more full description created.
patch:
tags:
- Datasets
summary: "Microsoft Azure Update The Properties Of An Existing Dataset \r\n \r\nstatus Codes Returned:\r\n 200: Operation Completed Successfully \r\n 400: The Request Was Malformed \r\n 404: A Dataset With The Specified Name Was Not Found \r\n 412: An If Match Header Was Provided, But The Given Etag Did Not Match The Current Etag Value"
operationId: microsoftAzureDatasetsUpdate
consumes:
- application/json-patch+json
produces:
- application/json
parameters:
- in: path
name: name
description: The name of the dataset to update.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- in: header
name: If-Match
description: "Optional ETag for the dataset to update.<br />\r\nIf an ETag is provided, then the dataset will be updated only if its current ETag value matches the given ETag.\r\nIf the ETag values don't match, then the update operation will fail with status code 412 (Precondition Failed).\r\nThis indicates that the dataset has been updated since the last time information for the dataset was obtained.<br />\r\nIf an ETag is not provided or its value is '*', then the dataset will always be updated regardless of the current ETag value."
type: string
- $ref: '#/parameters/ApiVersion'
- in: body
name: body
description: Properties to update on the existing dataset.
required: true
schema:
$ref: '#/definitions/Dataset'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/Dataset'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
Datasets_Update:
$ref: ./examples/Datasets_Update.json
description: Needs a more full description created.
delete:
tags:
- Datasets
summary: "Microsoft Azure Unregister A Dataset \r\n \r\nstatus Codes Returned:\r\n 204: Operation Completed Successfully \r\n 400: The Request Was Malformed \r\n 404: A Dataset With The Specified Name Was Not Found \r\n 412: An If Match Header Was Provided, But The Given Etag Did Not Match The Current Etag Value"
operationId: microsoftAzureDatasetsUnregister
produces:
- application/json
parameters:
- in: path
name: name
description: The name of the dataset to unregister.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- in: header
name: If-Match
description: "Optional ETag for the dataset to unregister.<br />\r\nIf an ETag is provided, then the dataset will be unregistered only if its current ETag value matches the given ETag.\r\nIf the ETag values don't match, then the unregister operation will fail with status code 412 (Precondition Failed).\r\nThis indicates that the dataset has been updated since the last time information for the dataset was obtained.<br />\r\nIf an ETag is not provided or its value is '*', then the dataset will always be unregistered regardless of the current ETag value."
type: string
- $ref: '#/parameters/ApiVersion'
responses:
'204':
description: No Content
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
Datasets_Unregister:
$ref: ./examples/Datasets_Unregister.json
description: Needs a more full description created.
/datasets:
get:
tags:
- Datasets
summary: "Microsoft Azure Get A List Of Datasets That Have Been Registered \r\n \r\nstatus Codes Returned:\r\n 200: Operation Completed Successfully \r\n 400: The Request Was Malformed"
operationId: microsoftAzureDatasetsList
produces:
- application/json
parameters:
- in: query
name: skip
description: Number of datasets to be skipped.
type: integer
format: int32
default: 0
maximum: 2147483647
minimum: 0
- in: query
name: top
description: >-
Number of datasets to be returned after skipping. The maximum
allowed value is 30.
type: integer
format: int32
default: 10
maximum: 30
minimum: 1
- $ref: '#/parameters/ApiVersion'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/DatasetApiModelCollectionApiModel'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
Datasets_List:
$ref: ./examples/Datasets_List.json
x-ms-pageable:
nextLinkName: nextLink
description: Needs a more full description created.
/models/{name}:
put:
tags:
- Models
summary: "Microsoft Azure Start Training A Custom Model \r\n \r\nstatus Codes Returned:\r\n 201: Operation Completed Successfully \r\n 400: The Request Was Malformed \r\n 409: A Model With The Specified Name Already Exists"
operationId: microsoftAzureModelsCreate
consumes:
- application/json-patch+json
produces:
- application/json
parameters:
- in: path
name: name
description: >-
A name that can be used to uniquely identify the model after it has
been created.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- $ref: '#/parameters/ApiVersion'
- in: body
name: body
description: >-
Properties for the model, such as the name of the dataset to use to
train the model.
required: true
schema:
$ref: '#/definitions/Model'
responses:
'201':
description: Created
schema:
$ref: '#/definitions/Model'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
Models_Create:
$ref: ./examples/Models_Create.json
description: Needs a more full description created.
get:
tags:
- Models
summary: "Microsoft Azure Get Information About A Specific Model \r\n \r\nstatus Codes Returned:\r\n 200: Operation Completed Successfully \r\n 400: The Request Was Malformed \r\n 404: A Model With The Specified Name Was Not Found"
operationId: microsoftAzureModelsGet
produces:
- application/json
parameters:
- in: path
name: name
description: The name of the model to get.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- $ref: '#/parameters/ApiVersion'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/Model'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
Models_Get:
$ref: ./examples/Models_Get.json
description: Needs a more full description created.
delete:
tags:
- Models
summary: "Microsoft Azure Delete A Custom Model A Model Can Be Deleted If It Is In One Of The Succeeded , Failed , Or Canceled States \r\nif A Model Is In The Notstarted Or Training State, Cancel Training And Wait For Cancellation To Finish Before Deleting The Model \r\n \r\nstatus Codes Returned:\r\n 204: Operation Completed Successfully \r\n 400: The Request Was Malformed \r\n 404: A Model With The Specified Name Was Not Found"
operationId: microsoftAzureModelsDelete
produces:
- application/json
parameters:
- in: path
name: name
description: The name of the model to delete.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- $ref: '#/parameters/ApiVersion'
responses:
'204':
description: No Content
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
Models_Delete:
$ref: ./examples/Models_Delete.json
description: Needs a more full description created.
/models:
get:
tags:
- Models
summary: "Microsoft Azure Get A List Of The Available Models \r\n \r\nstatus Codes Returned:\r\n 200: Operation Completed Successfully \r\n 400: The Request Was Malformed"
operationId: microsoftAzureModelsList
produces:
- application/json
parameters:
- in: query
name: skip
description: Number of models to be skipped.
type: integer
format: int32
default: 0
maximum: 2147483647
minimum: 0
- in: query
name: top
description: >-
Number of models to be returned after skipping. The maximum allowed
value is 30.
type: integer
format: int32
default: 10
maximum: 30
minimum: 1
- $ref: '#/parameters/ApiVersion'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/ModelApiModelCollectionApiModel'
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
Models_List:
$ref: ./examples/Models_List.json
x-ms-pageable:
nextLinkName: nextLink
description: Needs a more full description created.
/models/{name}:cancel:
post:
tags:
- Models
summary: "Microsoft Azure Cancel Model Training \r\n \r\nstatus Codes Returned:\r\n 202: Operation Completed Successfully \r\n 400: The Request Was Malformed \r\n 404: A Model With The Specified Name Was Not Found"
operationId: microsoftAzureModelsCanceltraining
produces:
- application/json
parameters:
- in: path
name: name
description: The name of the model to cancel training.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- $ref: '#/parameters/ApiVersion'
responses:
'202':
description: Accepted
default:
description: Error
schema:
$ref: '#/definitions/ErrorResponse'
headers:
x-ms-error-code:
type: string
x-ms-examples:
Models_CancelTraining:
$ref: ./examples/Models_CancelTraining.json
description: Needs a more full description created.
/models/{name}/evaluations/{evaluationName}:
put:
tags:
- Models
summary: "Microsoft Azure Evaluate An Existing Model \r\n \r\nstatus Codes Returned:\r\n 201: Operation Completed Successfully \r\n 400: The Request Was Malformed \r\n 409: An Evaluation With The Specified Name Already Exists"
operationId: microsoftAzureModelevaluationsCreate
consumes:
- application/json-patch+json
produces:
- application/json
parameters:
- in: path
name: name
description: The name of the model to evaluate.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- in: path
name: evaluationName
description: >-
A name that can be used to uniquely identify the evaluation after it
has been created.
required: true
type: string
maxLength: 255
pattern: ^[a-zA-Z0-9][a-zA-Z0-9._-]*$
- $ref: '#/parameters/ApiVersion'
- in: body
name: body
description: >-
Properties for the evaluation,
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# Full source: https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/openapi/computer-vision-client-openapi-original.yml